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                Field
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                discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator 
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                in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent 
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                of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career 
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                Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours agoTransformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and 
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                . • Very good Master’s degree (or equivalent) in electrical engineering, physics, materials science, or a related discipline. • Strong background in experimental physics, spectroscopy, RF/microwave 
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                theses Your Profile: You have successfully completed your studies in economics, (business) engineering, natural sciences, or data science with very good results Knowledge in the fields of environmental 
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                or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics 
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                Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. The candidate will be embedded in the Neural Computation Group at the Max Planck Institute for Human 
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                - looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely 
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                academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science